Dataset contains 8,760 rows and 36 columns (after dropping attributes)

Key column categories:
- Station info: STATION, DATE, LATITUDE, LONGITUDE, ELEVATION, NAME
- Weather variables: Cloud, DewPoint, Pressure, Temperature, Wind
Pittsburgh Hourly Weather Observations (1981–2010)
Cloud (% Clear) DewPoint (°F) Pressure (hPa) Temperature (°F) Wind (MPH)
count 8760.0 8760.0 8760.0 8760.0 8760.0
mean 13.12 40.57 1017.74 51.57 8.09
std 8.77 14.91 1.66 16.39 2.29
min 0.7 17.6 1014.1 23.8 3.4
25% 6.3 25.9 1016.3 36.1 6.3
50% 10.8 39.0 1018.0 51.75 8.3
75% 18.3 56.4 1019.1 65.5 9.7
max 41.4 63.4 1021.5 81.2 13.3


Whatever example.


Here are the questions we are asking: - How do all three relate (Wind, Temperature, Clouds)?
- How does Pressure and DewPoint affect the other 3?
- Are there any interesting seasonal patterns?